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SIMULASI HIDROTERMAL DAERAH KAWAH DOMAS DENGAN PEMODELAN KONTINU 2-D ANOMALI SELF POTENTIAL (SP)

Journal of Teaching and Learning Physics · Vol. 2 No. 1 (2017) · pp. 10–16

DOI
10.15575/jotalp.v2i1.5818
ISSN
2580-3107, 2528-5505
Published
2017-02-27
Publisher
UIN Sunan Gunung Djati Bandung
Language
ind

Abstract

Hydrothermal system research using Self Potential (SP) Method, 2-D DC Resistivity and surface temperature, has been done at Domas Crater (1700 masl). Potential anomaly which is associated with subsurface structure is obtained by SP measurement, whereas temperature measurement is done to get information about surface temperature distribution laterally and resistivity distribution of volcano structures is known by 2-D DC Resistivity measurement. Hydrothermal activities, which cause the existence of SP value, are modeled using this scheme modeling. This schema modeling is validated by comparing the value of SP model with field measurement. The shallow hydrothermal activities at Domas Crater are influenced by meteoric and subsurface water. The velocity of hydrothermal activities are about 10-9 - 10-7 m/s. 16.64% root mean square error is obtained by Comsol modeling, whereas 6.54% root mean square error is obtained by modeling using finite element method.

Keywords

Collaboration network of the authors

13 authors · 27 co-authorship links · 3 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Sunan Gunung Djati State Islamic University Bandung
  • Bandung Institute of Technology
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Riki Purnama PutraBandung Institute of Technology4
Yudi DirgantaraSunan Gunung Djati State Islamic University Bandung1
Ivana Sylvi IndrawanSunan Gunung Djati State Islamic University Bandung1
Sri PrihatiniAffiliation unknown1
Wahyuni HandayaniAffiliation unknown1
Dedi KuntadiAffiliation unknown1
Muhammad Ripki RinaldiAffiliation unknown1
Ade Yeti NuryantiniAffiliation unknown1
Pina PitrianaAffiliation unknown1
Seni SusantiAffiliation unknown1
Agustinus Bambang SetyadjiAffiliation unknown1
Riantini VirtrianaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.uinsgd.ac.id/index.php/jtlp/oai, first harvested 7 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">SIMULASI HIDROTERMAL DAERAH KAWAH DOMAS DENGAN PEMODELAN KONTINU 2-D ANOMALI SELF POTENTIAL (SP)</dc:title>
	<dc:creator>Agustina, Rena Denya</dc:creator>
	<dc:subject xml:lang="en-US">hydrothermal</dc:subject>
	<dc:subject xml:lang="en-US">self potential</dc:subject>
	<dc:subject xml:lang="en-US">resistivity</dc:subject>
	<dc:subject xml:lang="en-US">continue modeling</dc:subject>
	<dc:subject xml:lang="en-US">finite element method</dc:subject>
	<dc:subject xml:lang="en-US">Physics</dc:subject>
	<dc:description xml:lang="en-US">Hydrothermal system research using Self Potential (SP) Method, 2-D DC Resistivity and surface temperature, has been done at Domas Crater (1700 masl). Potential anomaly which is associated with subsurface structure is obtained by SP measurement, whereas temperature measurement is done to get information about surface temperature distribution laterally and resistivity distribution of volcano structures is known by 2-D DC Resistivity measurement. Hydrothermal activities, which cause the existence of SP value, are modeled using this scheme modeling. This schema modeling is validated by comparing the value of SP model with field measurement. The shallow hydrothermal activities at Domas Crater are influenced by meteoric and subsurface water. The velocity of hydrothermal activities are about 10-9 - 10-7 m/s. 16.64% root mean square error is obtained by Comsol modeling, whereas 6.54% root mean square error is obtained by modeling using finite element method.</dc:description>
	<dc:publisher xml:lang="en-US">UIN Sunan Gunung Djati Bandung</dc:publisher>
	<dc:date>2017-02-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.uinsgd.ac.id/index.php/jtlp/article/view/5818</dc:identifier>
	<dc:identifier>10.15575/jotalp.v2i1.5818</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Teaching and Learning Physics; Vol. 2 No. 1 (2017): Journal of Teaching and Learning Physics (Februari 2017); 10-16</dc:source>
	<dc:source>2580-3107</dc:source>
	<dc:source>2528-5505</dc:source>
	<dc:language>ind</dc:language>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/jtlp/article/view/5818/3322</dc:relation>
</oai_dc:dc>